PR-MLP: a physics-regularized deep learning framework for rapid prediction of impurity-mode instabilities in tokamaks
Microinstabilities associated with impurities in tokamak plasmas can affect particle transport and radiative power loss; rapid identification of weakly unstable regimes is essential for parameter scans near stability boundaries. In this work, we develop MLP surrogate models for the HD7 gyrokinetic impurity-mode solve...